aaai 1994 论文列表Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31 - August 4, 1994, Volume 1. |
L* Parsing: A General Framework for Syntactic Analysis of Natural Language.
Principled Multilingual Grammars for Large Corpora.
Corpus-Driven Knowledge Acquisition for Discourse Analysis.
Emergent Linguistic Rules from inducing Decision Trees: Disambiguating Discourse Clue Words.
An Artificial Discourse Language for Collaborative Negotiation.
Classifying Cue Phrases in Text and Speech Using Machine Learning.
A Plan-Based Model for Response Generation in Collaborative Task-Oriented Dialogues.
Visual Semantics: Extracting Visual information from Text Accompanying Pictures.
A Prototype Reading Coach that Listens.
Automated Postediting of Documents.
Building a Large-Scale Knowledge Base for Machine Translation.
Kalos - A System for Natural Language Generation with Revision.
Lexical Acquisition in the Presence of Noise and Homonymy.
The Ups and Downs of Lexical Acquisition.
Inducing Deterministic Prolog Parsers from Treebanks: A Machine Learning Approach.
A Probabilistic Algorithm for Segmenting Non-Kanji Japanese Strings.
Toward the Essential Nature of Statistical Knowledge in Sense Resolution.
Context-Sensitive Statistics For Improved Grammatical Language Models.
Some Advances in Transformation-Based Part of Speech Tagging.
Talking About AI: Socially Defined Linguistic Subcontexts in AI.
Using Knowledge Acquisition and Representation Tools to Support Scientific Communities.
Reinforcement Learning Algorithms for Average-Payoff Markovian Decision Processes.
Incorporating Advice into Agents that Learn from Reinforcements.
Catching a Baseball: A Reinforcement Learning Perspective Using a Neural Network.
Learning to Reason.
Pac-Learning Nondeterminate Clauses.
Learning Fault-Tolerant Speech Parsing with SCREEN.
Inductive Learning For Abductive Diagnosis.
Learning to Recognize Promoter Sequences in E. coli by Modeling Uncertainty in the Training Data.
Compositional Instance-Based Learning.
A Discovery System for Trigonometric Functions.
Bootstrapping Training-Data Representations for Inductive Learning: A Case Study in Molecular Biology.
An Implemented Model of Punning Riddles.
Decision Tree Pruning: Biased or Optimal?
Learning Decision Lists Using Homogeneous Rules.
Bottom-Up Induction of Oblivious Read-Once Decision Graphs: Strengths and Limitations.
Induction of Multivariate Regression Trees for Design Optimization.
Branching on Attribute Values in Decision Tree Generation.
Flexible Strategy Learning: Analogical Replay of Problem Solving Episodes.
Creating Abstractions Using Relevance Reasoning.
Learning Explanation-Based Search Control Rules for Partial Order Planning.
Improving Learning Performance Through Rational Resource Allocation.
Formalizing Ontological Commitment.
Using Induction to Refine Information Retrieval Strategies.
Extracting Viewpoints from Knowledge Bases.
The Acquisition, Analysis and Evaluation of Imprecise Requirements for Knowledge-Based Systems.
Building Non-Brittle Knowledge-Acquisition Tools.
A User Interface for Knowledge Acquisition From Video.
Knowledge Refinement in a Reflective Architecture.
Case-Based Retrieval Interface Adapted to Customer-Initiated Dialogues in Help Desk Operations.
Learning from Highly Flexible Tutorial Instruction.
Situated Plan Attribution for Intelligent Tutoring.
Tailoring Retrieval to Support Case-Based Teaching.
An Instructional Environment for Practicing Argumentation Skills.
The Relationship between Architectures and Example-Retrieval Times.
Model-Based Automated Generation of User Interfaces.
Mechanisms for Efficiency in Blackboard Systems.
Discovering Procedural Executions of Rule-Based Programs.
Combining Left and Right Unlinking for Matching a Large Number of Learned Rules.
Collaborative Interface Agents.
An Experiment in the Design of Software Agents.
Coalition, Cryptography, and Stability: Mechanisms for Coalition Formation in Task Oriented Domains.
Learning to Coordinate without Sharing Information.
The Impact of Locality and Authority on Emergent Conventions: Initial Observations.
Forming Coalitions in the Face of Uncertain Rewards.
Emergent Coordination through the Use of Cooperative State-Changing Rules.
A Computational Market Model for Distributed Configuration Design.
Exploiting Meta-Level information in a Distributed Scheduling System.
A Collaborative Parametric Design Agent.
Progressive Negotiation for Resolving Conflicts among Distributed Heterogeneous Cooperating Agents.
Divide and Conquer in Multi-Agent Planning.
On the Inherent Level of Local Consistency in Constraint Networks.
A Filtering Algorithm for Constraints of Difference in CSPs.
Reasoning about Temporal Relations: A Maximal Tractable Subclass of Allen's Interval Algebra.
An Approach to Multiply Segmented Constraint Satisfaction Problems.
Improving Repair-Based Constraint Satisfaction Methods by Value Propagation.
Noise Strategies for Improving Local Search.
Expected Gains from Parallelizing Constraint Solving for Hard Problems.
GENET: A Connectionist Architecture for Solving Constraint Satisfaction Problems by Iterative Improvement.
Planning from First Principles for Geometric Constraint Satisfaction.
Weak-Commitment Search for Solving Constraint Satisfaction Problems.
Solution Reuse in Dynamic Constraint Satisfaction Problems.
In Search of the Best Constraint Satisfaction Search.
Dead-End Driven Learning.
The Hazards of Fancy Backtracking.
The Emergence of Ordered Belief from Initial Ignorance.
Focusing on the Most Important Explanations: Decision-Theoretic Horn Abduction.
Markov Chain Monte-Carlo Algorithms for the Calculation of Dempster-Shafer Belief.
Noise and Uncertainty Management in Intelligent Data Modeling.
Abstraction in Bayesian Belief Networks and Automatic Discovery from Past Inference Sessions.
Testing Physical Systems.
Causal Default Reasoning: Principles and Algorithms.
Symbolic Causal Networks.
Probabilistic Evaluation of Counterfactual Queries.
Forming Beliefs about a Changing World.
A Description Classifier for the Predicate Calculus.
Boosting the Correspondence between Description Logics and Propositional Dynamic Logics.
Refining the Structure of Terminological Systems: Terminology = Schema + Views.
Termination Analysis of OPS5 Expert Systems.
Using Hundreds of Workstations to Solve First-Order Logic Problems.
On Kernel Rule's and Prime Implicants.
Avoiding Tests for Subsumption.
Small is Beautiful: A Brute-Force Approach to Learning First-Order Formulas.
ModGen: Theorem Proving by Model Generation.
An Empirical Evaluation of Knowledge Compilation by Theory Approximation.
Can We Enforce Full Compositionality in Uncertainty Calculi?
Recovering Software Specifications with Inductive Logic Programming.
Rule Based Updates on Simple Knowledge Bases.
Semi-Autonomous Animated Actors.
Knowledge Representation for Video.
The Synergy of Music Theory and Al: Learning Multi-Level Expressive Interpretation.
Simulating Creativity in Jazz Performance.
Auditory Stream Segregation in Auditory Scene Analysis with a Multi-Agent System.
Automated Accompaniment of Musical Ensembles.
Experimentally Evaluating Communicative Strategies: The Effect of the Task.
Ordering Relations in Human and Machine Planning.
A Model of Creative Understanding.
The Capacity of Convergence-Zone Episodic Memory.
A Reading Agent.
Retrieving Semantically Distant Analogies with Knowledge-Directed Spreading Activation.
Towards More Creative Case-Based Design Systems.
Case-Based Acquisition of User Preferences for Solution Improvement in Ill-Structured Domains.
Heuristic Harvesting of Information for Case-Based Argument.
Experience-Aided Diagnosis for Complex Devices.
Social Interaction: Multimodal Conversation with Social Agents.
CHATTERBOTS, TINYMUDS, and the Turing Test: Entering the Loebner Prize Competition.
Research Problems in the Use of a Shallow Artificial Intelligence Model of Personality and Emotion.
Criticism, Culture, and the Automatic Generation of Artworks.